Phenyl Track

Design and development of a platform for the self-testing of phenylalanine levels in patients with hyperphenylalaninemias and Artificial Intelligence-supported clinical follow-up

  • Medical devices
  • Electronics
  • Firmware
  • Applications
  • Research & development
  • Project management
Phenyl Track

PROJECT GRANT

“Accordi per l’innovazione” (second window) - DM 31/12/2021 - Ministry of Enterprises and Made in Italy.

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ABSTRACT

ABSTRACT

The 36-month R&D project named “PHENYLTRACK - Design and development of a platform for the self-testing of phenylalanine levels in patients with hyperphenylalaninemias and Artificial Intelligence-supported clinical follow-up” is being carried out by Infobiotech (as lead partner) with the collaboration of Tinexta Cyber Spa, ICB/CNR and the Department of Pharmacology of UniCT.

The project aims at the realization of a platform for self-monitoring of phenylalanine levels in patients with hyperphenylalaninemias, consisting of new devices for self-monitoring and advanced digital services, supported by Artificial Intelligence, for rapid and safe patient follow-up.

OBJECTIVES

OBJECTIVES

In summary, the system to be implemented in this project will consist of:

  • biosensors made with key enabling technologies, containing both sensing and signal transduction modules. For this purpose, both enzymatic assays based on colorimetric transduction and non-enzymatic assays based on the use of nanomaterials that allow direct detection of Phe will be considered;
  • portable detection devices, designed to be made with low-cost, easy-to-use, battery-powered components and connected wirelessly with the PhenylTrack platform, capable of handling all the steps necessary for biosensor operation, from thermostatting to colorimetric detection;
  • PhenylTrack platform, consisting of a state-of-the-art IT infrastructure capable of acquiring, storing, and processing information from all detection devices in use by patients, based on artificial intelligence algorithms to support clinical follow-up of patients, and multi-platform user interface structured for differentiated access by different users of the systems (e.g., patients and clinical staff).

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